48th week of 2017 patent applcation highlights part 51 |
Patent application number | Title | Published |
20170344823 | CONTROLLED AUTHENTICATION OF PHYSICAL OBJECTS - A physical object is scanned and a digital image of the object is generated from the scan. At least one subset of the image, known as an “authentication region” is selected. A plurality of feature vectors, arising from the physical structure of the object, are extracted from certain locations of interest within an authentication region and combined to generate a unique identifier or “digital fingerprint” for that object. Preferably, authentication regions for feature vector extraction are automatically selected by a software process. To identify or authenticate an object, a system may compare a digital fingerprint of an object to digital fingerprints previously stored in a database. Digital fingerprint data may specify a set of features (also termed “locations of interest”) which may be referenced in the creation of a “fingerprint template” which is a template of certain locations of interest and/or attributes selected for authenticating a particular class of objects. | 2017-11-30 |
20170344824 | DOCUMENT IMAGE QUALITY ASSESSMENT - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for assessing document image quality are disclosed. In one aspect, a method includes the actions of receiving one or more images of a document. The actions further include detecting an object that has a shape that is similar to an expected shape of the document. The actions further include determining a focus score that reflects a sharpness of the first image. The actions further include determining a border fit score that reflects a likelihood that the object corresponds to the document. The actions further include determining an expected shape score that reflects a correlation between the shape of the object and an expected shape of the document. The actions further include determining a quality score that reflects a quality of the first image. The actions further include determining whether to perform document authentication on the first image. | 2017-11-30 |
20170344825 | COMPARING EXTRACTED CARD DATA USING CONTINUOUS SCANNING - Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud. | 2017-11-30 |
20170344826 | VEHICULAR DISPLAY DEVICE - When an ignition switch has been turned off, an accessory switch has been turned off, and a door has been opened ( | 2017-11-30 |
20170344827 | PAVEMENT MARKING DETERMINATION - In an approach to determining pavement markings, a computer determines a location of a first computing device based on data received from one or more location devices associated with the first computing device. The computer then retrieves pavement marking data for one or more pavement markings for the location and determines whether one or more existing pavement markings are present at the location. Responsive to determining that one or more existing pavement markings are present at the location, the computer determines whether each of the one or more existing pavement markings meet one or more pre-determined thresholds for an acceptable pavement marking quality. Furthermore, responsive to determining each of the one or more existing pavement markings do not meet the one or more pre-determined thresholds for an acceptable pavement marking quality level, the computer provides pavement marking data to the first computing device. | 2017-11-30 |
20170344828 | PAVEMENT MARKING DETERMINATION - In an approach to determining pavement markings, a computer determines a location of a first computing device based on data received from one or more location devices associated with the first computing device. The computer then retrieves pavement marking data for one or more pavement markings for the location and determines whether one or more existing pavement markings are present at the location. Responsive to determining that one or more existing pavement markings are present at the location, the computer determines whether each of the one or more existing pavement markings meet one or more pre-determined thresholds for an acceptable pavement marking quality. Furthermore, responsive to determining each of the one or more existing pavement markings do not meet the one or more pre-determined thresholds for an acceptable pavement marking quality level, the computer provides pavement marking data to the first computing device. | 2017-11-30 |
20170344829 | SKELETON -BASED ACTION DETECTION USING RECURRENT NEURAL NETWORK - In implementations of the subject matter described herein, an action detection scheme using a recurrent neural network (RNN) is proposed. Joint locations for a skeleton representation of an observed entity in a frame of a video and a predefined action label for the frame are obtained to train a learning network including RNN elements and a classification element. Specifically, first weights for mapping the joint locations to a first feature for the frame generated by a first RNN element in a learning network and second weights for mapping the joint locations to a second feature for the frame generated by a second RNN element in the learning network are determined based on the joint locations and the predefined action label. The first and second weights are determined by increasing a first correlation between the first feature and a first subset of the joint locations and a second correlation between the second feature and the first subset of the joint locations. Based on the joint locations and the predefined action label, a parameter for a classification element included in the learning network is also determined by increasing a probability of the frame being associated with the predefined action label. The probability is generated by the classification element at least based on the first and second features. | 2017-11-30 |
20170344830 | SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF SPHERICAL VIDEO CONTENT - Systems and methods are described for identifying the video content as spherical video or non-spherical video in response to determining that frame scores and video scores satisfy a threshold level. For example, a plurality of image frames can be extracted from video content, classified in a dual stage process, and scored according to particular classification and scoring mechanisms. | 2017-11-30 |
20170344831 | IMAGE FLOW ANALYZING METHOD WITH LOW DATUM STORAGE AND LOW DATUM COMPUTATION AND RELATED CAMERA DEVICE AND CAMERA SYSTEM - An image flow analyzing method with low datum storage and low datum computation is applied to a related camera device and a related camera system. The image flow analyzing method includes defining a monitoring region on a video image, detecting an input timing and an output timing of an object passing through the monitoring region, utilizing the input timing and the output timing to compute a first average staying amount and a first average staying period of the object within the monitoring region via a specific time length, and utilizing the first average staying amount and the first average staying period to compute a second average staying amount and a second average staying period of the object within a statistics range defined by several specific time lengths in accordance with an external command. | 2017-11-30 |
20170344832 | System and method for event monitoring and detection - A system for event detection and reporting has primary sensors for producing raw data from observing the proximate area, one or more processors for the primary sensors, for processing the raw data to produce output, a centralized controller to which each of the processors is connected, for receiving the output, a security network for communicating between the sensors, the controller, and one or more remote terminals, the security network having an alarm, and a plurality of auxiliary sensors for providing secondary sensor information to the one or more processors wherein the controller provides an alarm to the remote terminals through the security network if an event has occurred. A method of event detection has the steps of receiving a control command, alarm message and sensor information, determining if an event has occurred, and sending alarm messages and filtered sensor information to remote terminals if an event has occurred. | 2017-11-30 |
20170344833 | METHOD AND SYSTEM FOR IDENTIFYING AN INDIVIDUAL WITH INCREASED BODY TEMPERATURE - A method of identifying one or more individuals with increased body temperature in a group of individuals, the method comprising the steps of: providing a scene ( | 2017-11-30 |
20170344834 | FACILITY USE MEASURING DEVICE AND FACILITY USE MEASURING SYSTEM - A facility use measuring device includes a processor and a memory storing instructions. The processor is configured to set a plurality of staying areas for determining the presence or absence of stay of users on images, to generate stay information relating to the presence or absence of stay of the users for each of the staying areas based on a change situation, to compare pieces of stay information for every at least two staying areas and determine a group configuration regarding the users who respectively stay in the staying areas based on similarity of the pieces of stay information, to generate use information relating a use situation of a facility according to the group configuration, based on the pieces of stay information for each of the staying areas and a determination result of the group configuration, and to generate display information displaying the use information and output the display information. | 2017-11-30 |
20170344835 | METHOD AND SYSTEM FOR CATEGORIZATION OF A SCENE - The present invention relates to a method for categorizing a moving object within a scene In particular, the present invention relates to a method specifically taking into account the three dimensional data within a scene for determining the location of and type of objects present within the scene. The method involves determining a first probability level for the type of object based on its size and shape, determining a second probability level for the type of object based on its relative speed, and defining the type of the object based on a combination of the first and the second probability level. The invention also relates to a corresponding system and a computer program product. | 2017-11-30 |
20170344836 | METHOD AND SYSTEM FOR ROBUST CURB AND BUMP DETECTION FROM FRONT OR REAR MONOCULAR CAMERAS - A method of detecting a curb. An image of a path of travel is captured by a monocular image capture device mounted to a vehicle. A feature extraction technique is applied by a processor to the captured image. A classifier is applied to the extracted features to identify a candidate region in the image. Curb edges are localized by the processor in the candidate region of the image by extracting edge points. Candidate curbs are identified as a function of the extracted edge points. A pair of parallel curves is selected representing the candidate curb. A range from image capture device to the candidate curb is determined. A height of the candidate curb is determined. A vehicle application is enabled to assist a driver in maneuvering a vehicle utilizing the determined range and depth of the candidate curb. | 2017-11-30 |
20170344837 | VEHICLE CONTROL SYSTEM BASED ON USER INPUT AND METHOD THEREOF - A vehicle control system based on a user input includes: a user information input device receiving a region of interest from a user; a vehicle movement information calculator calculating movement information of a vehicle; and a vehicle position relationship tracker performing a vehicle control based on the region of interest and the movement information of the vehicle. | 2017-11-30 |
20170344838 | Hierarchical Context-Aware Extremity Detection - In an example embodiment, a computer-implemented method receives image data from one or more sensors of a moving platform and detecting one or more objects from the image data. The one or more objects potentially represent extremities of a user associated with the moving platform. The method processes the one or more objects using two or more context processors and context data retrieved from a context database. The processing produces at least two confidence values for each of the one or more objects. The method filters at least one of the one or more objects from consideration based on the confidence value of each of the one or more objects. | 2017-11-30 |
20170344839 | BIOMETRIC INFORMATION PROCESSING DEVICE, BIOMETRIC INFORMATION PROCESSING METHOD AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM - A biometric information processing device including: a memory; a processor coupled to the memory and the processor configured to: extract a surface pattern and a blood vessel pattern of a living body from a biometric image; extract a feature point of the surface pattern; and extract a feature of the blood vessel pattern corresponding to a position of the feature point. | 2017-11-30 |
20170344840 | LIVENESS DETECTION FOR FACE CAPTURE - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for liveness detection are disclosed. In one aspect, a method includes the actions of providing, for display on a screen to a user, a graphical item that travels along a path. The actions further include tracking a movement of an eye of the user while the graphical item travels along the path on the screen. The actions further include comparing the movement of the eye of the user to the path traveled by the graphical item. The actions further include generating an eye correlation score that reflects a correlation between the movement of the eye of the user and the path traveled by the graphical item. The actions further include determining whether the eye correlation score satisfies an eye liveness threshold score. The actions further include determining whether the user is a live person. | 2017-11-30 |
20170344841 | CORRECTION AND DETECTION OF DEFECTIVE CAPACITIVE SENSOR ELEMENTS OF A FINGERPRINT SENSOR - A method of correcting charge values acquired from a capacitive fingerprint sensor, comprising acquiring a list of one or more defective capacitive sensor elements and for defective capacitive sensor element in the list, selecting its position as a first position and: | 2017-11-30 |
20170344842 | WEB MEDIUM ORIENTATION DETECTION - In a method for high speed printing of web-based media, a medium is pulled along a media transport path to a pulling transport mechanism. The orientation of the medium with respect to the media transport path is sensed and this orientation is compared to a reference orientation to detect an orientation error. If an orientation error is detected, one or more of the following steps is performed: adjusting a print job for an image to be printed on the web medium; adjusting the transport speed; emitting a communication signal; and stopping the pulling transport mechanism and the image forming unit. It is the insight of the inventor that productivity may be increased by allowing a “tight winding” printing system to start printing at relatively high speed and reduce this speed only when significantly large deviations in the orientation of the web are detected. | 2017-11-30 |
20170344843 | ADVANCED SIGNALING OF A MOST-INTERESTED REGION IN AN IMAGE - A device for determining information for video data includes one or more processors implemented in circuitry that are configured to determine one or more most-interested regions of a plurality of regions of an image of video data from data representative of the one or more most-interested regions. The one or more processors are further configured to generate a request specifying the one or more most-interested regions using the data representative of the one or more most-interested regions and output the request to a server device. | 2017-11-30 |
20170344844 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - According to an embodiment, an information processing apparatus includes an attribute determiner and a setter. Each of acquired first sets indicates a combination of observation information indicating a result of observation of an area surrounding a moving body and position information. The attribute determiner is configured to determine, based on the observation information, an attribute of each of areas into which the area surrounding the moving body is divided, and to generate second sets, each indicating a combination of attribute information indicating the attribute of each area and the position information. The setter is configured to set, based on the second sets, reliability of the attribute of the area of a target second set, from correlation between the attribute of the area of the target second set and the attribute of corresponding areas each indicating the area corresponding to the target area in the areas of the other second sets. | 2017-11-30 |
20170344845 | IMAGE INFORMATION PROCESSING DEVICE, IMAGE INFORMATION PROCESSING SYSTEM, IMAGE INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM STORING IMAGE INFORMATION PROCESSING PROGRAM - In an image representing an observed ground surface area, the device calculates an optical-path-radiance with a high degree of accuracy. An image information processing device | 2017-11-30 |
20170344846 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND PROGRAM - An image processing device comprises an input unit, a characteristic amount calculation unit, a characteristic amount vector calculation unit, and a characteristic identification unit. The input unit receives an image. The characteristic amount calculation unit calculates an image characteristic amount characterizing a texture of a local area of the image received by the input unit. The characteristic amount vector calculation unit calculates a first characteristic amount vector corresponding to the local area from the image characteristic amount. The characteristic identification unit identifies a characteristic of the local area on the basis of the first characteristic amount vector and a second characteristic amount vector calculated by the same method as the first characteristic amount vector and calculated from an image whose characteristic has been determined in advance. | 2017-11-30 |
20170344847 | ROBUST METHOD FOR TRACING LINES OF TABLE - A method for image processing includes obtaining a mask of a stroke from an image and identifying a plurality of cross edges for the stroke based on the mask and a reference line. The plurality of cross edges includes a group of adjacent cross edges that intersect the reference line. The method further includes (a) calculating a first vector based on positions of at least two of the cross edges in the group, (b) expanding the group, based on the first vector, to include cross edges adjacent to the group that do not intersect the reference line, (c) calculating a second vector based on positions of at least two of the cross edges in the expanded group, and (d) expanding the expanded group, based on the second vector, to include a second group of adjacent cross edges nearby the expanded group that do not intersect the reference line. | 2017-11-30 |
20170344848 | GENERATING IMAGE FEATURES BASED ON ROBUST FEATURE-LEARNING - Techniques for increasing robustness of a convolutional neural network based on training that uses multiple datasets and multiple tasks are described. For example, a computer system trains the convolutional neural network across multiple datasets and multiple tasks. The convolutional neural network is configured for learning features from images and accordingly generating feature vectors. By using multiple datasets and multiple tasks, the robustness of the convolutional neural network is increased. A feature vector of an image is used to apply an image-related operation to the image. For example, the image is classified, indexed, or objects in the image are tagged based on the feature vector. Because the robustness is increased, the accuracy of the generating feature vectors is also increased. Hence, the overall quality of an image service is enhanced, where the image service relies on the image-related operation. | 2017-11-30 |
20170344849 | METHODS FOR AUTOMATED CHART ANALYSIS - Methods for analyzing a chart using an electronic computing device are presented, the methods including: causing the electronic computing device to receive a chart image corresponding with the chart, the chart image having recorded chart data; analyzing the recorded chart data, where the analyzing returns at least measurement values corresponding with the recorded chart data; and returning volumetric results of the processing to a user. In some embodiments, the recorded chart data corresponds with data selected from the group consisting of: temperature data, differential pressure data, and static pressure data. In some embodiments, the chart corresponds with a chart integration device or a chart recorder. In some embodiments, methods further include: capturing the chart image with a mobile image capture device. | 2017-11-30 |
20170344850 | OBJECT RECOGNITION APPARATUS, OBJECTION RECOGNITION METHOD, AND PROGRAM - An object recognition apparatus includes image information acquisition means for acquiring image information of an object to be recognized, storage means for storing detection profile information associating an object candidate with a detector capable of detecting the object candidate, and model image information of the object candidate associated with the object candidate and object detection means including detectors defined in the detection profile information, the object detection means detecting the object to be recognized by using the detector from the image information acquired by the image information acquisition means. The detector of the object detection means detects the object candidate by comparing the model image information of the object candidate associated with the detector in the detection profile information with the image information of the object to be recognized acquired by the image information acquisition means, and outputs the detected object candidate as the object to be recognized. | 2017-11-30 |
20170344851 | INFORMATION PROCESSING APPARATUS AND METHOD FOR ENSURING SELECTION OPERATION - An information processing apparatus comprises a detection module, an extraction module, a display control module and an operation control module. The detection module detects an object contained in an image data captured by an image capturing section. The extraction module extracts candidates corresponding to the object photographed by the image capturing section based on a similarity degree between a feature amount of the object extracted from the image data and a feature amount of each object for comparison in the detected object. The display control module displays the image data captured by the image capturing section and the extracted candidates. The operation control module receives an operation for selecting the displayed candidate. The display control module displays another image data from which the detection module detects the object, instead of the image data displayed if no object is detected while the operation for selecting the candidate is not received. | 2017-11-30 |
20170344852 | Projection-Based Audio Object Extraction from Audio Content - A method is disclosed for audio object extraction from an audio content which includes identifying a first set of projection spaces including a first subset for a first channel and a second subset for a second channel of the plurality of channels. The method may further include determining a first set of correlations between the first and second channels, each of the first set of correlations corresponding to one of the first subset of projection spaces and one of the second subset of projection spaces. Still further, the method may include extracting an audio object from an audio signal of the first channel at least in part based on a first correlation among the first set of correlations and the projection space from the first subset corresponding to the first correlation, the first correlation being greater than a first predefined threshold. Corresponding system and computer program products are also disclosed. | 2017-11-30 |
20170344853 | IMAGE PROCESSING APPARATUS AND METHOD FOR EASILY REGISTERING OBJECT - In accordance with an embodiment, an image processing apparatus comprises a designation module, a registration module and a display control module. The designation module designates an object. The registration module registers information of the object designated by the designation module. The display control module enables a display section to display an operation section for instructing the registration module based on the information registered by the registration module. | 2017-11-30 |
20170344854 | MACHINE INTELLIGENT PREDICTIVE COMMUNICATION AND CONTROL SYSTEM - A machine intelligent communication and control system is able to dynamically predict and adapt information presented to various users. The system provides a personalized experience with its ability to identify users, become contextually aware of the user's location and environment, identify objects and actions, and present customized information tailored for the user and the current environment. The system is further able to control connected items within the environment based upon various user preference considerations. | 2017-11-30 |
20170344855 | METHOD OF PREDICTING TRAFFIC COLLISIONS AND SYSTEM THEREOF - Methods and systems for determining the likelihood of a traffic collision between vehicles of different vehicle classes at an intersection are disclosed. Data informative of an intersection model is obtained. A first and second vehicle appearing in image data are classified, their trajectories extracted, and a plurality of references trajectories associated with their respective classes are selected from the intersection model. Conflicting pairs of references trajectories are identified. For each pair, the first vehicle is mapped to a point on the first reference trajectory and the second vehicle is mapped to a point on the second reference trajectory. Data indicative of the likelihood of a collision is generated, and a warning is generated when the generated data satisfy a predetermined criterion. | 2017-11-30 |
20170344856 | APPARATUS AND METHOD FOR VISUALIZING TISSUE MACRO- AND MICROSTRUCTURE FOR PATHOLOGY EVALUATION IN MAGNETIC RESONANCE IMAGING - A method improves a detection of a brain tissue pathology in magnetic resonance (MR) images of a patient. The method includes acquiring multiple MR imaging data for creating four different contrast maps of a patient brain. From the multiple MR imaging data, performing an estimation of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) concentration for each voxel of a part of the patient brain. From the multiple MR imaging data, segmenting the part of the patient brain in different regions-of-interest (ROIs) according to a chosen atlas. For each voxel of each of the contrast maps of the patient brain, computing, for the part of the patient brain, a deviation score. The method further includes creating from the deviation score and for each of the quantitative contrast maps, a deviation map representing the part of the brain in dependence on the deviation score calculated for each voxel. | 2017-11-30 |
20170344857 | SHAPE DETECTION - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for shape detection are disclosed. In one aspect, a method includes the actions of generating a shape model that includes a predetermined shape with a predetermined scale and predetermined orientation. The actions further include receiving an image. The actions further include identifying edges that are parallel to the side of the shape model and that are a predetermined distance from the side of the shape model. The actions further include selecting a plurality of edges that likely correspond to edges of a shape that is similar to the shape model. The actions further include determining a fit score between the plurality of edges and each shape of a plurality of shapes that are similar to the shape model. The actions further include identifying a particular shape in the image that most closely fits the shape model. | 2017-11-30 |
20170344858 | CONTROL DEVICE, CONTROL METHOD, AND COMPUTER PROGRAM PRODUCT - A control device includes one or more processors. The processors detect a target captured in an image, and calculate likelihood indicating whether the target is concealed. The processors decide on an output method for outputting the target according to the likelihood. The processors generate a display image based on the image and the decided output method. | 2017-11-30 |
20170344859 | METHOD AND SYSTEM FOR PROVIDING GESTURE RECOGNITION SERVICES TO USER APPLICATIONS - A method for providing gesture recognition services to a user application, comprising: storing sets of training data in a database at a server, the training data received from a sensor associated with the user application, the training data being indicative of characteristics of a gesture, the user application running on a client device; training a gesture recognition algorithm with the sets of training data to generate a trained gesture recognition algorithm, the output of the trained gesture recognition algorithm being an indication of the gesture; storing the trained gesture recognition algorithm in a client library at the server; receiving raw data from the sensor via the user application and storing the raw data in the client library; applying the trained gesture recognition algorithm to the raw data; and, when the trained gesture recognition algorithm recognizes the gesture, sending the indication of the gesture from the client library to the user application. | 2017-11-30 |
20170344860 | UTILIZING DEEP LEARNING FOR AUTOMATIC DIGITAL IMAGE SEGMENTATION AND STYLIZATION - Systems and methods are disclosed for segregating target individuals represented in a probe digital image from background pixels in the probe digital image. In particular, in one or more embodiments, the disclosed systems and methods train a neural network based on two or more of training position channels, training shape input channels, training color channels, or training object data. Moreover, in one or more embodiments, the disclosed systems and methods utilize the trained neural network to select a target individual in a probe digital image. Specifically, in one or more embodiments, the disclosed systems and methods generate position channels, training shape input channels, and color channels corresponding the probe digital image, and utilize the generated channels in conjunction with the trained neural network to select the target individual. | 2017-11-30 |
20170344861 | PRINTING APPARATUS AND PRINTING CONTROL DEVICE - A printing apparatus according to an embodiment includes: a conveying device which conveys a record medium in a conveyance direction; a cutter which cuts out the record medium; a printing unit which prints an image on the record medium; a mark detector which detects a reference mark indicating a page start position of the record medium; a receiver which receives record medium type information; and a controller which, based on a content of the record medium type information, switches a cut position to be cut with the cutter between a first position being a position upstream in the conveyance direction by a predetermined one-page length from the page start position and a second position being a position shifted in the conveyance direction by a prescribed length from the first position. | 2017-11-30 |
20170344862 | PRINT CONTROL APPARATUS AND CONTROL METHOD - A print control apparatus includes an output unit that outputs information for displaying a screen indicating that continuous printing processing is not executable in a case where it is determined that continuous printing processing is not executable. In a case where the information for displaying the screen indicating that continuous printing processing is not executable is output, the screen indicating that continuous printing processing is not executable is displayed on a display unit. | 2017-11-30 |
20170344863 | Single-Pass Imaging and Optical Mark Recognition Scanning - Performing optical mark recognition (OMR) scanning includes receiving a substrate to be scanned, the substrate having one or more colors visible to a human eye and bearing user-made marks; moving the substrate and a light sensor relative to each other such that the substrate moves past the light sensor a single time; during the relative movement of the substrate, scanning the substrate using multiple colors of light to simultaneously generate both (a) image data representing a visual appearance of the substrate, and (b) OMR data corresponding to respective locations of the user-made marks on the substrate. | 2017-11-30 |
20170344864 | RFID TAG for Printed Fabric Label and Method of Making - An RFID tag is disclosed that is formed as part of a printed fabric label (PFL). Generally, foil is adhered to a fabric material with a releasable adhesive, the foil is then cut, such as by a laser to define the antenna pattern and a removable portion. The removable portion is then manually stripped away, and a strap is then attached with adhesive to the antenna. A small square of hot melt over-laminate may be placed over the strap and bonded, and then a top layer of fabric is added and secured with an adhesive from a transfer tape. | 2017-11-30 |
20170344865 | BARCODED INDICATORS FOR QUALITY MANAGEMENT - A barcoded indicator operative to provide a machine-readable indication of exceedance of at least one threshold by at least one product quality affecting parameter, the barcoded indicator including a first barcode including a first plurality of barcode bars and at least a first colorable area, at least a second barcode including a second plurality of barcode bars and at least a second colorable area, and at least one interposed line extending between the first barcode and the second barcode, the interposed line being capable of preventing a barcode reader from reading parts of the first barcode and of the second barcode as part of a single barcode. | 2017-11-30 |
20170344866 | MOLECULAR LABEL COUNTING ADJUSTMENT METHODS - Disclosed herein are methods and systems for determining the numbers of targets. In some embodiments, the method comprise: stochastically barcoding targets using stochastic barcodes; obtaining sequencing data; for one or more of the targets: counting the number of molecular labels with distinct sequences associated with the target in the sequencing data; identifying clusters of molecular labels of the target using directional adjacency; collapsing the sequencing data using the clusters of molecular labels of the target identified; and estimating the number of the target. | 2017-11-30 |
20170344867 | MODULATION OF DISPLAY IMAGERY FOR BARCODE SIMULATION - A method of modulating display imagery for barcode simulation is provided. Barcode information is received into a portable device. The portable device includes an image capture system, the image capture system including an image sensor that is configured to convert light into discrete signals. The image capture system has an image sensor controller that is configured to control the image sensor. The image capture system has an image processor that is configured to convert the discrete signals into formatted image data. The portable device has a display system having a display screen configured to display formatted image data. The barcode information is used to manipulate the image capture system such that the display screen displays a light simulated barcode. | 2017-11-30 |
20170344868 | IMPROVED RADIO FREQUENCY IDENTIFICATION TAG - A radio frequency identification (RFID) tag includes a substrate; and an inductive-capacitive circuit located on the substrate. The circuit includes a corrugated inductive antenna to communicate with a RFID interrogator using radio frequency signals. The circuit further includes a capacitor coupled to the corrugated inductive antenna. | 2017-11-30 |
20170344869 | CERAMIC-CONTAINING TRANSACTION CARDS AND METHODS OF MAKING THE SAME - A transaction card includes a card body that may comprise a card body comprising a ceramic material, the card body including a primary surface and a first mating surface. A card backer comprises a metallic material and includes a secondary surface and a second mating surface. A portion of the first mating surface and a portion of the second mating surface are coupled together. | 2017-11-30 |
20170344870 | METHOD FOR CREATING CERAMIC-CONTAINING TRANSACTION CARDS - A transaction card includes a card body that may comprise a card body comprising a ceramic material, the card body including a primary surface and a first mating surface. A card backer comprises a metallic material and includes a secondary surface and a second mating surface. A portion of the first mating surface and a portion of the second mating surface are coupled together. | 2017-11-30 |
20170344871 | ULTRAHIGH FREQUENCY RFID TAG ANTENNA WITH MULTI-INFEED - An ultrahigh frequency RFID tag antenna with multi-infeed includes an antenna assembly, a baseboard, and a ground plane. The baseboard is located above the ground plane. The antenna assembly is electrically connected to the ground plane. The antenna assembly includes a radiated element, a number of microstrip lines, and a number of tag chips. Each of the tag chips is connected between each two microstrip lines, thereby a microstrip feed loop is formed by each of the tag chips and the each two microstrip lines. | 2017-11-30 |
20170344872 | RFIC DEVICE AND METHOD FOR MANUFACTURING RESIN MOLDED BODY INCLUDING RFIC DEVICE - An RFIC device including a resin block having a first surface, a second surface that faces the first surface, and a through-hole that extends through the first surface and the second surface. Moreover, the RFIC device includes an RFIC element that is embedded in the resin block and a coil antenna disposed in the resin block that is connected with the RFIC element and that has a central axis that extends from the first surface to the second surface. In addition, the through-hole extends inside the coil antenna. | 2017-11-30 |
20170344873 | ANTENNA FOR IDENTIFICATION TAG AND IDENTIFICATION TAG WITH ANTENNA - Disclosed is an ultra high frequency antenna device for use with an identification tag for attachment to an animal. The antenna device comprises: a meander line antenna; and a substrate. The antenna device is operable to use the body of the animal to which it is attached as part of the tuning circuit of said antenna device. Also disclosed is an ultra-high frequency identification tag comprising such an antenna device, and a method of manufacturing such an ultra-high frequency identification tag. | 2017-11-30 |
20170344874 | HANDHELD DEVICE WITH A COUNTER AND COUNTER - A counter for a handheld device for dispensing a pharmaceutical substance, has a housing, at least one counter wheel which has readable characters, and a drive part which is designed to rotate the counter wheel, the counter wheel being rotatably attached to a mounting part. The mounting part of the counter is designed independently of the housing, and the drive part is directly attached to the mounting part. The counter can have at least one counter wheel which has readable characters and a drive part which is designed to rotate the counter wheel. The counter wheel has readable characters and is designed in a cylindrical manner and with a central axis, and has a drive part which is designed to rotate the counter wheel, the counter wheel being provided with an engagement toothing via which the drive part acts on the counter wheel so as to rotate same, the drive part having a rotational axis. | 2017-11-30 |
20170344875 | CONTROL METHOD, ELECTRONIC DEVICE AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM - An electronic device is provided. The electronic device comprises: a storage for storing interaction setting information and behavior setting information; an interaction interface; and a processor electrically connected to the storage and the interaction interface. When the processor receives a behavior-driving command from the interaction interface, the processor is configured to select the behavior setting information and the interaction setting information according to the behavior-driving command. The processor is configured to perform a behavior according to the behavior setting information. The processor is further configured to perform an interaction operation based on the behavior according to the behavior setting information and the interaction setting information when the behavior is had. A control method and a non-transitory computer readable storage medium are also provided. | 2017-11-30 |
20170344876 | EFFICIENT SPARSE PARALLEL WINOGRAD-BASED CONVOLUTION SCHEME - A system and a corresponding method are configured to generate a plurality of output feature maps from an input feature map. The system includes a first input data path (IDP), a request assembly unit (RAU), and a multiply accumulate array (MAA). The IDP transforms a first input feature map to a Winograd domain and generates a first plurality of requests in which each request is for a first plurality of non-zero weights of transformed weight kernels with corresponding elements. The RAU receives the first plurality of requests. The MAA generates a plurality of output matrices in parallel for a first output feature map based on applying the first plurality of non-zero weights to corresponding elements for each input matrix. | 2017-11-30 |
20170344877 | Changeover From One Neural Network To Another Neural Network - In an example embodiment, for each of one or more input documents: a first value is determined for the first metric for a first transformation of the input document by passing the first transformation to s first Deep Convolutional Neural Network (DCNN), a second transformation of the input document is determined by passing the input document to a second DCNN, the second transformation of the input document is passed to the first DCNN, obtaining a second value for the first metric for the second transformation of the input document, the first and second transformations being of the first transformation type, and a difference between the first value and the second value for the input document is determined. Then it is determined whether to change the system over from the first DCNN to the second DCNN based on the difference between the first value and the second value. | 2017-11-30 |
20170344878 | CONTACTLESS POSITION/DISTANCE SENSOR HAVING AN ARTIFICIAL NEURAL NETWORK AND METHOD FOR OPERATING THE SAME - A contactless position and/or distance sensor for determining the distance, the spatial orientation, the material properties, or the like of a target object, and a method for operating the same, uses at least two sensor elements, which form a sensor module, Signals provided by the at least two sensor elements are jointly evaluated using at least one artificial neural network. | 2017-11-30 |
20170344879 | TRAINING A NEURAL NETWORK USING ANOTHER NEURAL NETWORK - In an example embodiment, a first DCNN is trained to output a value for a first metric by inputting a plurality of sample documents to the first DCNN, with each of the sample documents having been labeled with a value for the first metric. Then a plurality of possible transformations of a first input document are fed to the first DCNN, obtaining a value for the first metric for each of the plurality of possible transformations. A first transformation is selected from the plurality of possible transformations based on the values for the first metric for each of the plurality of possible transformations. Then a second DCNN is trained to output a transformation for a document by inputting the selected first transformation to the second DCNN. The second input document is fed to the second DCNN, obtaining a second transformation of the second input document. | 2017-11-30 |
20170344880 | SYSTEMS AND METHODS FOR VECTORIZED FFT FOR MULTI-DIMENSIONAL CONVOLUTION OPERATIONS - A new approach is proposed to support efficient convolution for deep learning by vectorizing multi-dimensional input data for multi-dimensional fast Fourier transform (FFT) and direct memory access (DMA) for data transfer. Specifically, a deep learning processor (DLP) includes a plurality of tensor engines each configured to perform convolution operations by applying one or more kernels on multi-dimensional input data for pattern recognition and classification based on a neural network, wherein each tensor engine includes, among other components, one or more vector processing engines each configured to vectorize the multi-dimensional input data at each layer of the neural network to generate a plurality of vectors and to perform multi-dimensional FFT on the generated vectors and/or the kernels to create output for the convolution operations. Each tensor engine further includes a data engine configured to prefetch the multi-dimensional data and/or the kernels to both on-chip and external memories via DMA. | 2017-11-30 |
20170344881 | INFORMATION PROCESSING APPARATUS USING MULTI-LAYER NEURAL NETWORK AND METHOD THEREFOR - An information processing apparatus includes a learning unit configured to learn a plurality of multi-layer neural networks configured to carry out a plurality of tasks, a generation unit configured to generate a shared layer candidate at a predetermined layer between or among the plurality of multi-layer neural networks, a first relearning unit configured to relearn the plurality of multi-layer neural networks in a structure using the shared layer candidate, and a determination unit configured to determine whether to share the shared layer candidate at the predetermined layer with respect to each of the plurality of tasks based on an evaluation of the relearning. | 2017-11-30 |
20170344882 | Layer-based operations scheduling to optimise memory for CNN applications - A method of configuring a System-on-Chip (SoC) to execute a Convolutional Neural Network (CNN) by (i) receiving scheduling schemes each specifying a sequence of operations executable by Processing Units (PUs) of the SoC; (ii) selecting, a scheduling scheme for a current layer of the CNN; (iii) determining a current state of memory for a storage location in the SoC allocated for storing feature map data from the CNN; (iv) selecting, from the plurality of scheduling schemes and dependent upon the scheduling scheme for the current layer of the CNN, a set of candidate scheduling schemes for a next layer of the CNN; and (v) selecting, from the set of candidate scheduling schemes dependent upon the determined current state of memory, a scheduling scheme for the next layer of the CNN. | 2017-11-30 |
20170344883 | SYSTEMS AND METHODS FOR CONTROL, ANALYSIS, AND/OR EVALUATION OF DYNAMICAL SYSTEMS - There is provided a method comprising: receiving a graph comprising nodes with directional edges each associated with a variable weight representing an interaction strength of the respective direction edge adjustable according to a respective range; calculating a current global value defined by a function of the variable weights of the directional edges; calculating a mismatch between the current global value and a desired global value, wherein multiple different combinations of assigned variable weights of the directional edges are associated with the desired global value within the tolerance requirement; determining when the mismatch is within a tolerance requirement representing desired global values; and one of: randomly adjusting the variable weights of the directional edges within the respective range, and iterating the calculating the mismatch and determining when the mismatch is not within the tolerance requirement, and outputting determined values for the variable weights when the mismatch is within the tolerance requirement. | 2017-11-30 |
20170344884 | SEMANTIC CLASS LOCALIZATION IN IMAGES - Semantic class localization techniques and systems are described. In one or more implementation, a technique is employed to back communicate relevancies of aggregations back through layers of a neural network. Through use of these relevancies, activation relevancy maps are created that describe relevancy of portions of the image to the classification of the image as corresponding to a semantic class. In this way, the semantic class is localized to portions of the image. This may be performed through communication of positive and not negative relevancies, use of contrastive attention maps to different between semantic classes and even within a same semantic class through use of a self-contrastive technique. | 2017-11-30 |
20170344885 | Timing Sequence for Digital STDP Synapse and LIF Neuron-based Neuromorphic System - Methods and systems are provided for operating a neuromorphic system for generating neuron and synapse activities. The method includes: preparing at least one digital timer in the neuromorphic system, each of the at least one digital timers including multi-bit digital values; generating time signals using the at least one digital timer; emulating an analog waveform of a neuron spike; updating parameters of the neuromorphic system using the time signals and the current values of the parameters; presetting, using a processor, the digital values of the at least one digital timer to initial values when the spike input is provided to the node; and updating, using the processor, the digital values of the at least one digital timer with a specified amount when there is an absence of a spike input to the node. | 2017-11-30 |
20170344886 | Knowledge Management System also known as Computer Machinery for Knowledge Management - This Knowledge Management (hereafter referred as KM) System provides a unified portal and platform for the following purposes:
| 2017-11-30 |
20170344887 | HEURISTICALLY PROGRAMMED ARTIFICIAL INTELLIGENCE FOR MAINFRAME OPERATING SYSTEMS - Disclosed herein is a heuristically programmable system comprising a web-socket; a backend component that is in operative communication with the web-socket to act as a heuristically programmed algorithm framework that is operative to interact with a user in natural language and in a human-like manner; a main frame computer; a web server that is in operative communication with an internet; where the main frame computer and the web server are in operative communication with the web socket; and a cognitive computing system; where the web socket comprises a computer system configured to provide a voice, motion and/or a graphical interface to a user; and where the web socket is operative to communicate with the cognitive computing system; where the cognitive computing system is operative to convert speech to text and to send this text to the web socket. | 2017-11-30 |
20170344888 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An information processing apparatus according to one embodiment includes a memory having computer executable components stored therein; and processing circuitry communicatively coupled to the memory. The processing circuitry is configured to: acquire, for each of a plurality of sensors installed in a vehicle, positional information of an object present around the vehicle measured by the sensor; calculate a probability that the object is present for each of a plurality of areas obtained by dividing surroundings of the vehicle based on the positional information measured by the sensors; record non-measurement information indicating that the positional information was not obtained for an area corresponding to a direction in which the positional information was not obtained for each of the sensors; and determine a final probability that the object is present based on the probability calculated for each of the sensors and the non-measurement information. | 2017-11-30 |
20170344889 | INTEGRATED VIRTUAL COGNITIVE AGENTS AND MESSAGE COMMUNICATION ARCHITECTURE - A virtual cognitive agent (VCA) system comprises social media communication channels integrated with machine cognition engines. The VCA system connects to an external message platform and accesses posted messages. An intent is determined and sentiment analysis is performed on text elements from the intercepted messages to determine handling of the message. The integrated machine cognition engines determine a response to the captured message. The VCA system may access a corpus or exchange data with the originator of the post or another entity to determine the response. The integrated social media communication channels may connect to an external query response platform and communicate the response to the query response platform. | 2017-11-30 |
20170344890 | Distributed algorithm to find reliable, significant and relevant patterns in large data sets - System pre-processes and computes class distribution of decision attribute and statistics for discretization of continuous attributes through use of compute buckets. System computes the variability of each of the attributes and considers only the non-zero variability attributes. System computes the discernibility strength of each attribute. The software system generates size 1 patterns using compute bucket and calculates if each pattern of size 1 is a reliable pattern for any class. The system calculates if reliable pattern of size 1 is a significant pattern for any class. The system generates size k patterns from size k−1 patterns checking for significance of size k patterns and refinability. The system readjusts pattern statistics for only significant patterns for size k−1 patterns. The system computes a cumulative coverage of the sorted relevant patterns of up to size k by finding out the union of records of that particular class. | 2017-11-30 |
20170344891 | METHOD AND DEVICE FOR ACQUIRING STATE DATA INDICATING STATE OF USER - Provided is a method of obtaining state data indicating a state of a user. The method includes: obtaining estimation models for obtaining pieces of state data existing in a plurality of layers from sensor data obtained by a sensor; obtaining at least one piece of sensor data; obtaining state data of a lower layer from the at least one piece of sensor data, based on the estimation models; and obtaining state data of a higher layer from the state data of the lower layer, based on the estimation models. | 2017-11-30 |
20170344892 | Predicting a Chromatic Identity of an Existing Recipe and Modifying the Existing Recipe to Meet a Desired Set of Colors by Adding New Elements to the Recipe - A mechanism is provided for modifying an existing recipe to meet a set of desired colors for a final food dish. Responsive to receiving a request to modify the existing recipe to meet the set of desired colors, at least one of the set of existing colors to be changed to meet the desired set of colors is identified. An ingredient-action-sequence triplet associated with each at least one existing color to be changed in the existing recipe is identified and, from a corpus of ingredient-action-sequence triplets associated with other existing recipes, one or more candidates that can he added to produce the at least one target color are identified. The one or more candidates that can he added are ranked based on how each candidate pairs best with other ingredients in the existing recipe. Based on a selection of a candidate, the existing recipe is modified with the selected candidate. | 2017-11-30 |
20170344893 | Method for Complex Events Detection using Hidden Markov Models - Embodiments of the present invention may provide the capability to detect complex events while providing improved detection and performance. In an embodiment of the present invention, a method for detecting an event may comprise receiving data representing measurement or detection of physical parameters, conditions, or actions, quantizing the received data and selecting a number of samples from the quantized data, generating a hidden Markov model representing events to be detected using initial model values based on ideal conditions, wherein a desired output is defined as a sequence of states, and wherein a number of states of the hidden Markov model is less than or equal to the number of samples of the quantized data, adjusting the quantized data and the initial model values to improve accuracy of the model, determining a state sequence of the hidden Markov model, and outputting an indication of a detected event. | 2017-11-30 |
20170344894 | Method and Device for Associating a State to a New Value Output by a Drifting Sensor - The present invention relates to a method of associating at least one state in a plurality of states to a new value output by a drifting sensor, the method comprising: /a/ receiving a signal from the sensor, said signal comprising a plurality of values; /b/clustering the values of said signal into a number of clusters equal to the number of the plurality of states, each cluster being associated with a respective state in the plurality of states; /c/ for the new value of the signal, associating at least one state in said plurality of states or a probability rating representing the probability to be associated with one state in said plurality of states for said new value of the signal, the associated state or the associated probability rating being determined based on at least distances (d | 2017-11-30 |
20170344895 | Intelligent Workspace - The present invention discloses an intelligent workspace. In example embodiments the invention discloses method and systems with intelligent workspace for operating on an application of a computing device. The workspace of the invention includes various tools utilizing user behavioral analytics and user role information for dynamically operating on applications like procurement application. The system and method of the invention reduces operational time of the user and enhances user experience. | 2017-11-30 |
20170344896 | DISAMBIGUATION OF AGRICULTURAL INPUT - Systems and methods for disambiguation of agricultural input are disclosed. An example disclosed method includes determining a first probability for a second product specifier. The first probability indicates a likelihood that the second product specifier is correct. Additionally, the example method includes, in response to determining that agricultural input identifiers for a manufacturer associated with a portion of the first product specifier are in a variety database, modifying the first probability with a second probability. The example method includes, in response to determining that the agricultural input identifiers for the manufacturer associated with the portion of the first product specifier are not in the variety database, modifying the first probability with a third probability different from the second probability. The example method includes comparing the modified first probability with a threshold, and associating the second product specifier with the vehicle location when the modified first probability satisfies the threshold. | 2017-11-30 |
20170344897 | MONITORED MACHINE PERFORMANCE AS A MAINTENANCE PREDICTOR - A method, system, and computer program product for predicting abnormal operation of at least one component of a machine is provided. Real time monitoring data from an operating machine is received and monitoring features that are informative of likely abnormal operation are extracted and/or calculated. The monitoring features are applied to a prediction matrix that outputs probabilities of abnormal operation within one or more prediction time horizons. If the output probabilities exceed a threshold probability, then an alert can be output. Maintenance can be automatically scheduled in response to the alert. | 2017-11-30 |
20170344898 | METHODS AND SYSTEMS FOR SETTING A SYSTEM OF SUPER CONDUCTING QUBITS HAVING A HAMILTONIAN REPRESENTATIVE OF A POLYNOMIAL ON A BOUNDED INTEGER DOMAIN - Described herein are methods, systems, and media for setting a system of superconducting qubits having a Hamiltonian representative of a polynomial on a bounded integer domain via bounded-coefficient encoding. The method comprises: obtaining the polynomial on the bounded integer domain and integer encoding parameters; computing bounded-coefficient encoding using the integer encoding parameters; recasting each integer variable as a linear function of binary variables using the bounded-coefficient encoding, and providing additional constraints on the attained binary variables to avoid degeneracy in the encoding; substituting each integer variable with an equivalent binary representation, and computing the coefficients of the equivalent binary representation of the polynomial on the bounded integer domain; performing a degree reduction on the obtained equivalent binary representation of the polynomial to provide an equivalent polynomial of degree at most two in binary variables; using which, setting local field biases and coupling strengths on the system of superconducting qubits. | 2017-11-30 |
20170344899 | AUTOMATIC GENERATION OF TRAINING SETS USING SUBJECT MATTER EXPERTS ON SOCIAL MEDIA - A method, apparatus and computer program product for automatically generating training sets for machine learning. A set of topics to train a machine learning system is provided. A set of subject matter expert follower sites is identified. Each of the subject matter expert follower sites is about a respective topic of the set of topics and allows followers to post content. The content posted by followers of a respective subject matter expert follower site on the internet is retrieved. The retrieved follower posted content is used to train the machine learning to recognize common features of the retrieved follower posted content of followers having an interest in a respective topic of the set of topics. | 2017-11-30 |
20170344900 | METHOD AND APPARATUS FOR AUTOMATED ORGANIZATION OF VISUAL-CONTENT MEDIA FILES ACCORDING TO PREFERENCES OF A USER - A method and apparatus are provided for organizing media files using parameters obtained from the visual content and metadata of the media files. Using machine learning, an algorithm is trained to apply user preferences to organize the media files. The user indicates their preferences by viewing the media files and selecting relevancy measures and organizational actions for a subset of the media files (i.e., training data). Using the media-file parameters, the algorithm calculates relevancy values for respective media files. The algorithm is trained to minimize the error between the calculated relevancy value and the user determined relevancy measures of the training data. The media-file parameters can include, e.g., the blurriness of and facial and pattern recognition of the visual content; the source, location, time, edit history, and the frequency and recency of access to the media files as recoded in the metadata. | 2017-11-30 |
20170344901 | CLASSIFYING TRANSACTIONS AT NETWORK ACCESSIBLE STORAGE - A computerized method of classifying network accessible storage transactions at network accessible storage. The method comprises obtaining an client predictive security model for anomaly or malfunctioning detection, the client predictive security model is dynamically created by an analysis of a plurality of client transactions made to access target data stored in an client computing device, monitoring a plurality of network accessible storage transactions made to access a replica of the target data when the replica is stored in an network accessible storage, and classifying at least some of the plurality of network accessible storage transactions based on the client predictive security model. | 2017-11-30 |
20170344902 | Parent Company Industry Classifier - In an example embodiment, a solution that automatically predicts an industry for a candidate company is provided. An existing industry classifier is trained using a first machine learning algorithm, the first machine learning algorithm taking as input first training data and existing industries listed in an industry taxonomy. A new industry classifier is trained using a second machine learning algorithm, the second machine learning algorithm taking as input second training data and new industries listed in an industry taxonomy. Then the candidate company is fed into the existing industry classifier, producing one or more predicted existing industries corresponding to the candidate company. The candidate company is also fed into the new industry classifier, producing one or more predicted new industries corresponding to the candidate company. One or more final predicted industries are selected from among the one or more predicted existing industries and the one or more predicted new industries. | 2017-11-30 |
20170344903 | Parallel Ensemble of Support Vector Machines - Systems, methods, and computer-readable media for building ensemble members of a Support Vector Machine (SVM) ensemble in parallel and executing processing in parallel on data allocated to each ensemble member are disclosed. The parallel construction and processing of data of each ensemble member allows a single large SVM calculation to be replaced with many smaller SVM calculations performed in parallel, and thus, may reduce the computational resources required to classify datasets. | 2017-11-30 |
20170344904 | COORDINATED VERSION CONTROL SYSTEM, METHOD, AND RECORDING MEDIUM FOR PARAMETER SENSITIVE APPLICATIONS - Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters. The method also includes coordinating the versions of aggregated parameter sets among all the parameter servers. This allows to broadcast to enforce the version consistency; generate parameter sets in an on-demand manner to facilitate version control. Furthermore the method includes enhancing the version consistency at the learner's side and resolving the inconsistent version when mismatching versions are detected. | 2017-11-30 |
20170344905 | COORDINATED VERSION CONTROL SYSTEM, METHOD, AND RECORDING MEDIUM FOR PARAMETER SENSITIVE APPLICATIONS - Version vector-based rules are used to facilitate asynchronous execution of machine learning algorithms. The method uses version vector based rule to generate aggregated parameters and determine when to return the parameters. The method also includes coordinating the versions of aggregated parameter sets among all the parameter servers. This allows to broadcast to enforce the version consistency; generate parameter sets in an on-demand manner to facilitate version control. Furthermore the method includes enhancing the version consistency at the learner's side and resolving the inconsistent version when mismatching versions are detected. | 2017-11-30 |
20170344906 | OPTIMIZATION METHOD AND SYSTEM FOR SUPERVISED LEARNING UNDER TENSOR MODE - Optimization method and system for supervised learning under tensor mode is provided; wherein the method includes: receiving an input training tensor data set; introducing a within class scatter matrix into an objective function such that between class distance is maximized, at the same time, within class distance is minimized by the objective function; constructing an optimal frame of the objective function of an optimal projection tensor machine OPSTM subproblem; constructing an optimal frame of an objective function of an OPSTM problem; solving the revised dual problem and outputting alagrangian optimal combination and an offset scalar b; calculating a projection tensor W | 2017-11-30 |
20170344907 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND PROGRAM - An information processing apparatus includes a control unit that creates a plurality of learning information items including an input image and a teacher image as an expected value by image-processing the input image in accordance with a scenario described with a program code, and supplies the created plurality of learning information items to a machine learning module that composes an image processing algorithm by machine learning. | 2017-11-30 |
20170344908 | LEARNING APPARATUS, LEARNING METHOD, AND RECORDING MEDIUM - A learning apparatus includes: an update unit which updates a dictionary used by a classifier; a calculation unit which calculates, by using a dictionary updated and one or more samples with labeling being samples assigned with labels, a ratio to a number of the samples with labeling as a loss with respect to all the samples with labeling; and a determination unit which determines whether to update the dictionary, by using the loss, wherein, when the determination unit determines to update the dictionary, the update unit updates the dictionary by using the samples with labeling added with a new sample with labeling, and wherein the determination unit determines whether to update the dictionary, by using a loss calculated by using the updated dictionary and a loss calculated by using the dictionary before updating with respect to all the samples with labeling before adding the new sample with labeling. | 2017-11-30 |
20170344909 | MACHINE LEARNING DEVICE, FAILURE PREDICTION DEVICE, MACHINE SYSTEM AND MACHINE LEARNING METHOD FOR LEARNING END-OF-LIFE FAILURE CONDITION - A machine learning device learning a condition associated with an end-of-life failure of an electronic component in network-connected equipment connected to a network, including a state observation unit that observes a state variable obtained based on at least one of a hardware configuration, manufacturing information, an operating status, a use condition, and an output from a sensor detecting a state of a surrounding environment of the network-connected equipment; a determination data acquisition unit that acquires determination data on determination of presence or absence of the end-of-life failure or a degree of the end-of-life failure of the electronic component in the network-connected equipment; and a learning unit that learns, based on training data created from an output from the state observation unit and an output from the determination data acquisition unit, and teacher data, a condition associated with the end-of-life failure of the electronic component in the network-connected equipment. | 2017-11-30 |
20170344910 | CONTINUOUSLY PROVISIONING LARGE-SCALE MACHINE LEARNING MODELS - An approach for continuously provisioning machine learning models, executed by one or more computer nodes to provide a future prediction in response to a request from one or more client devices, is provided. The approach generates, by the one or more computer nodes, a machine learning model. The approach determines, by the one or more computer nodes, whether the machine learning model is a new model. In response to determining the machine learning model is not the new model, the approach retrieves, by the one or more computer nodes, one or more model containers with an associated model to a new persistent model. The approach determines, by the one or more computer nodes, a difference between the associated model and the new persistent model. Further, in response to determining the machine learning model is the new model, the approach generates, by the one or more computer nodes, one or more model containers. | 2017-11-30 |
20170344911 | INFORMATION PROCESSING SYSTEM - A position measurer measures the current position of a user terminal, and a time deriver derives an arrival time required before a vehicle arrives at the user's position, based on the current position of the user terminal and position information of the vehicle transmitted from a management server. A screen generating unit displays, as a list, information regarding the type of an available vehicle, and an arrival time required before the vehicle arrives at the user's position, on a display of an output device. The screen generating unit displays information regarding the type of each vehicle of which the arrival time is a given period of time or less. | 2017-11-30 |
20170344912 | TRAVEL BOOKING SYSTEM AND METHOD - A travel booking system, a travel booking method, and a method for booking a package holiday comprising a plurality of holiday components is provided. The method for booking the package holiday comprises: receiving a selection of a first holiday component; selecting one or more of a plurality of second holiday components according to an availability of the second holiday components and a compatibility with the first holiday component; and providing, the one or more second holiday components for selection by the user. | 2017-11-30 |
20170344913 | SYSTEM AND METHOD FOR DETECTING EFFECTIVE TRAVEL OPTION AND TICKETS BETWEEN A SOURCE AND DESTINATION WITH DIFFERENT MODES OF TRANSPORTS - The embodiments herein provide a system and method for effective detection and identification of travel options between a source and destination pair. The system and method identifies a plurality of alternative travel options between a source and destination pair for effective utilization of unused reservation quotas in a plurality of modes of travel. Currently, there are no systems available to enable travelers with information on alternative reservation options. The system and method utilizes graph data-structure to determine the available travel options between given source and destination pair is provided. The system and method enables travelers to reserve tickets by connecting or chaining multiple vehicles in the same or different modes of travel between given source and destination pair. The system also enables an effective travel solution by identifying a plurality of journey break options. | 2017-11-30 |
20170344914 | SYSTEMS AND METHODS FOR MANAGING EVENTS - Systems and methods consistent with the invention may include receiving, by a portal, requests from entities to become members, selectively granting the requests by the portal, receiving information by the portal from a plurality of first members, in response to requests from the first members, creating member files in the database using the received information, the files corresponding to the first members, receiving an information request by the portal from a second member, and selectively supplying by the portal to the second member, information from at least one of the files, the supplied information being selected based on the requests. | 2017-11-30 |
20170344915 | COLABORATION TRACKING SYSTEM - Computing systems, methods and collaboration tracking tools for predicting, tracking, and reporting the occurrence of unscheduled collaborations between two or more contributors to a project using computer systems equipped capabilities to transmit and/or receive location information of each individual contributor. An analytics module receiving the location information may use the location data to identify when two or more contributors to a project are in the same location together, and further predict whether the proximity of location and timing of the contributors crossing paths will predictably lead to an undocumented project-related collaboration determined as a function of location information, historical data and input collected. The collaboration tracking tools predict, report and/or record collaborations of project-related topics. Collaboration tracking tools confirm discussion of project-related topics, report to project managers for the purpose of updating the project managers and provide the project team with a copy of the recorded collaboration. | 2017-11-30 |
20170344916 | SUPPORTING ANALYSIS BASED ON WORKFLOW - A computer-implemented method for supporting analysis based on a workflow, includes: obtaining a non-timeline-based workflow including a first process and a second process to that is executed after the first process; and outputting a timeline-based workflow including the first process arranged at a first position corresponding to a first time and the second process arranged at a second position corresponding to a second time after the first time. | 2017-11-30 |
20170344917 | OPERATION SPECIFICATION REPRODUCTION SYSTEM AND OPERATION SPECIFICATION REPRODUCTION METHOD - An operation specification reproduction system includes: a case flowchart generation unit generating, on the basis of operation log data comprising records of necessary operations performed by persons in charge in order to execute respective cases, a case flowchart showing flows of operations performed by the persons in charge; a template generation unit for generating, on the basis of department data indicating association between responsible departments and the operations and the case flowchart generated by the case flowchart generation unit, an operation hierarchy template showing relationship between the responsible departments and the operations AA Discontinuity between persons in charge; and an operation flowchart generation unit for generating, on the basis of the operation hierarchy template and department template generated by the template generation unit, an operation flowchart showing the flows of operations performed by each department. | 2017-11-30 |
20170344918 | FACILITATING AND REPORTING THE PROPER COMPLETION OF WORKFLOWS - A method for facilitating the proper completion of a workflow in the oil and gas industry, in some embodiments, comprises obtaining a workflow comprising multiple workflow steps; displaying one or more of the workflow steps on a display; obtaining information pertaining to the displayed workflow steps, the information including at least one image and metadata associated with the at least one image; generating a report including the obtained information; and providing the report to a device via a network connection. | 2017-11-30 |
20170344919 | SYSTEM AND METHOD FOR ERGONOMIC MONITORING IN AN INDUSTRIAL ENVIRONMENT - A system and method for ergonomic monitoring in an industrial environment that includes tracking task properties of tasks performed by a worker; for a set of tasks, tracking kinematic activity of a worker during each task instance, which includes collecting kinematic data, processing the kinematic data and generating at least one biomechanical measurement of a task associated kinematic activity; and generating an ergonomic model that associates task properties and kinematic activity. | 2017-11-30 |
20170344920 | Risk Identification in Supply Chain - Computer systems and methods that identify and assess risk in a supply chain network. The systems and methods create a visual model of a supply chain network, which includes: (i) logical stations graphically representing the physical sites in the supply chain network, and (ii) logical transits graphically representing the transportation of materials between the represented physical sites. For each given logical station, the systems and methods identify risk values for risk categories associated with the physical site. The systems and methods identify the risk values based on physical conditions related to: (a) the physical site represented by the given logical station, (b) each physical site represented by a logical station positioned in a downstream supply chain path to the given logical station, and (c) each transportation represented by a logical transit positioned in the downstream supply chain path. The systems and methods generate dynamic graphical indications comparing the identified risk values for the risk categories and total risk values for the represented physical sites and transportations. | 2017-11-30 |
20170344921 | METHOD AND APPARATUS FOR TRIGGERING EXECUTION OF A WORKFLOW OVER A NETWORK - A method for triggering execution of a workflow over a network comprises receiving an instruction to execute a workflow comprising a first task for being executed on a first remote device, receiving network settings from the user device to enable communication and execution of the first task on the first remote device, applying the network settings to at least one of the host or the first remote device, and executing the first task on the first remote device using the network settings upon receiving the instructions from the user device. The workflow comprises multiple tasks for execution on multiple remote devices. Multiple tasks include the first task, and multiple remote devices include the first remote device. Network settings include settings for establishing communication between any two or more of the host and the remote devices. | 2017-11-30 |
20170344922 | SYSTEM AND METHODS FOR IDENTIFYING FIELDS AND TASKS - Described herein are a system and methods for identifying fields and tasks (e.g., agricultural fields and tasks). In one embodiment, system includes a display device to display a representation of one or more agricultural fields with geo-referenced boundaries and to receive one or more inputs for identifying at least one agricultural field with agricultural field identification information. A processing system is communicatively coupled to the display device. The processing system is configured to automatically transmit raw data including measurement data and location component data to the display device in response to a machine or an implement starting and to automatically identify location component data of the raw data. The processing system is further configured to automatically assign raw data to at least one agricultural field. | 2017-11-30 |